Yuxuan Wan

This page is a disambiguation page, it actually contains multiple papers from persons of the same or a similar name.

Bibliography

2026
LESSViT: Robust Hyperspectral Representation Learning under Spectral Configuration Shift.
CoRR, May, 2026

From Runnable to Shippable: Multi-Agent Test-Driven Development for Generating Full-Stack Web Applications from Requirements.
CoRR, May, 2026

ChronoEarth-492K: A Large Scale and Long Horizon Spatiotemporal Hyperspectral Earth Observation Dataset and Benchmark.
CoRR, May, 2026

UIBenchKit: A unified toolkit for design-to-code model evaluation.
CoRR, May, 2026

Attribution-Guided Continual Learning for Large Language Models.
CoRR, May, 2026

HDFlow: Hierarchical Diffusion-Flow Planning for Long-horizon Tasks.
CoRR, May, 2026

Posterior Optimization with Clipped Objective for Bridging Efficiency and Stability in Generative Policy Learning.
CoRR, April, 2026

ComUICoder: Component-based Reusable UI Code Generation for Complex Websites via Semantic Segmentation and Element-wise Feedback.
CoRR, February, 2026

Inference-Time Scaling of Verification: Self-Evolving Deep Research Agents via Test-Time Rubric-Guided Verification.
CoRR, January, 2026

A carving hierarchical information integration network for medical image segmentation.
Pattern Recognit., 2026

A medical image semantic segmentation method based on multi-color space information fusion strategy.
Inf. Fusion, 2026

DARNet: Deep Attention Receiver Network for 5G.
IEEE Commun. Lett., 2026

Enhancing cross-dataset generalization with quasi-multimodal training and the diamond hybrid backbone.
Biomed. Signal Process. Control., 2026

2025
TREAT: A Code LLMs Trustworthiness / Reliability Evaluation and Testing Framework.
CoRR, October, 2025

90% Faster, 100% Code-Free: MLLM-Driven Zero-Code 3D Game Development.
CoRR, September, 2025

Automatically Generating Web Applications from Requirements Via Multi-Agent Test-Driven Development.
CoRR, September, 2025

EfficientUICoder: Efficient MLLM-based UI Code Generation via Input and Output Token Compression.
CoRR, September, 2025

Group Fairness Meets the Black Box: Enabling Fair Algorithms on Closed LLMs via Post-Processing.
CoRR, August, 2025

Cognitive Kernel-Pro: A Framework for Deep Research Agents and Agent Foundation Models Training.
CoRR, August, 2025

ScreenCoder: Advancing Visual-to-Code Generation for Front-End Automation via Modular Multimodal Agents.
CoRR, July, 2025

DesignBench: A Comprehensive Benchmark for MLLM-based Front-end Code Generation.
CoRR, June, 2025

Learning a Pessimistic Reward Model in RLHF.
CoRR, May, 2025

Towards Scalable Foundation Model for Multi-modal and Hyperspectral Geospatial Data.
CoRR, March, 2025

SPERM: sequential pairwise embedding recommendation with MI-FGSM.
Int. J. Mach. Learn. Cybern., February, 2025

FetchBot: Object Fetching in Cluttered Shelves via Zero-Shot Sim2Real.
CoRR, February, 2025

DPStyler: Dynamic PromptStyler for Source-Free Domain Generalization.
IEEE Trans. Multim., 2025

LTE-ACN: A Human Activity Recognition System Using LTE Signals and Attention-Guided ConvNeXt Networks.
IEEE Trans. Instrum. Meas., 2025

Divide-and-Conquer: Generating UI Code from Screenshots.
Proc. ACM Softw. Eng., 2025

A feature enhancement network based on image partitioning in a multi-branch encoder-decoder architecture.
Knowl. Based Syst., 2025

A segmentation network for generalized lesion extraction with semantic fusion of transformer with value vector enhancement.
Expert Syst. Appl., 2025

Deep learning-based computer-aided diagnostic system for lumbar degenerative diseases classification using MRI.
Biomed. Signal Process. Control., 2025

Mapping out the Quantum Channel zoo.
Proceedings of the IEEE International Conference on Quantum Computing and Engineering, 2025

Interaction2Code: Benchmarking MLLM-based Interactive Webpage Code Generation from Interactive Prototyping.
Proceedings of the 40th IEEE/ACM International Conference on Automated Software Engineering, 2025

2024
Deep recommendation with iteration directional adversarial training.
Computing, October, 2024

MRWeb: An Exploration of Generating Multi-Page Resource-Aware Web Code from UI Designs.
CoRR, 2024

Interaction2Code: How Far Are We From Automatic Interactive Webpage Generation?
CoRR, 2024

Automatically Generating UI Code from Screenshot: A Divide-and-Conquer-Based Approach.
CoRR, 2024

Deep Learning for Detecting and Early Predicting Chronic Obstructive Pulmonary Disease from Spirogram Time Series: A UK Biobank Study.
CoRR, 2024

A & B == B & A: Triggering Logical Reasoning Failures in Large Language Models.
CoRR, 2024

New Job, New Gender? Measuring the Social Bias in Image Generation Models.
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

SCANet: Correcting LEGO Assembly Errors with Self-Correct Assembly Network.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2024

Research on Intelligent Recognition Algorithm of Container Numbers in Ports Based on Deep Learning.
Proceedings of the Advanced Intelligent Computing Technology and Applications, 2024

LogicAsker: Evaluating and Improving the Logical Reasoning Ability of Large Language Models.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

2023
ChatGPT or Grammarly? Evaluating ChatGPT on Grammatical Error Correction Benchmark.
CoRR, 2023

BiasAsker: Measuring the Bias in Conversational AI System.
Proceedings of the 31st ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2023

Probabilistic Categorical Adversarial Attack and Adversarial Training.
Proceedings of the International Conference on Machine Learning, 2023

Transferable Unlearnable Examples.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

A Mix-up Strategy to Enhance Adversarial Training with Imbalanced Data.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

2022
Towards Fair Classification against Poisoning Attacks.
CoRR, 2022

Probabilistic Categorical Adversarial Attack & Adversarial Training.
CoRR, 2022

Defense Against Gradient Leakage Attacks via Learning to Obscure Data.
CoRR, 2022

Towards Adversarial Learning: From Evasion Attacks to Poisoning Attacks.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022


  Loading...